2019 CVPR之ReID:Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Id
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification 當前的問題及概述： 爲了減少模內和模間的差異，我們提出了一種分層模間解調(Hi-CMD)方法，本文提出的方法有效的將ID-discriminative特徵和ID- excluded特徵分離出來，進而進行分
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相關文章
- 1. 【ReID】Hierarchical and Efficient Learning for Person Re-Identification
- 2. 2019 CVPR之ReID：Densely Semantically Aligned Person Re-Identification
- 3. 2019 CVPR之ReID：Towards Rich Feature Discovery with Class Activation Maps Augmentation for Person Re-
- 4. 2019 TCSVT之ReID：SDL: Spectrum-Disentangled Representation Learning for Visible-Infrared Person Re-id
- 5. 19 CVPR之ReID:Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification
- 6. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
- 7. 【ReID】【Skimming】Unity Style Transfer for Person Re-Identification
- 8. 【ReID】EANet: Enhancing Alignment for Cross-Domain Person Re-identification
- 9. A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Seg (CVPR 2019)
- 10. 2020 CVPR 之ReID：AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identi